Monitoring Device Decimates Images for Learning Apparatus Training
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Solution Overview
Problem
Existing security monitoring systems using cameras lack an efficient mechanism for updating and training monitoring logic in real-time, leading to suboptimal performance and increased communication loads when handling large volumes of image data for anomaly detection and analysis.
Innovation Solution
A monitoring device and learning apparatus system that acquires images from cameras, decimates them, and transmits results to a learning apparatus for additional training of monitoring logic, allowing for sequential generation of monitoring results and updating of internal logic without requiring internal training, thereby reducing communication load and enhancing anomaly detection efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the monitoring device transmits original high-resolution images for training, then the training accuracy is improved, but the communication load increases significantly
Solution Approach 1:
The patent extracts only the essential training information from images by using detection results to identify and transmit only relevant image regions or features to the learning apparatus, rather than transmitting complete high-resolution images. This extraction approach maintains training effectiveness while significantly reducing communication bandwidth requirements.
Solution Approach 2:
The system transmits partial image data (only relevant portions identified by detection algorithms) rather than complete images. The detection results guide which image regions or features should be transmitted, implementing a partial action strategy that balances training needs with communication efficiency.
2Adaptability or versatility
If the monitoring device performs internal training processing, then the adaptability is improved, but the device complexity increases
Solution Approach 1:
The patent introduces a separate learning apparatus as an intermediary that performs the complex training processing. The monitoring device communicates with this external learning apparatus, which handles the computationally intensive training tasks. This mediator approach allows the monitoring device to benefit from adaptive training without incorporating complex training infrastructure internally.
Solution Approach 2:
The learning apparatus operates autonomously to perform training processing on monitoring logic, serving itself and multiple monitoring devices without requiring direct intervention. The system automatically receives image data, performs training, and updates monitoring logic, reducing the operational burden on individual monitoring devices.
3Measurement precision
If the system processes large volumes of original image data, then the detection accuracy is improved, but the processing time increases
Solution Approach 1:
The system performs preliminary detection processing on images to identify anomalies or regions of interest before transmitting data for detailed analysis. This preliminary action filters the data stream, allowing subsequent processing to focus only on relevant portions, thereby reducing overall processing time while maintaining detection accuracy.
Solution Approach 2:
The patent segments the image processing workflow into distinct stages: initial detection, selective transmission of relevant data, and detailed analysis. By dividing the processing into segments, the system avoids processing complete high-resolution images through all stages, significantly reducing total processing time while preserving accuracy in critical detection stages.
Data Source
AI summary
Provided is a monitoring device including: a captured image acquiring unit configured to acquire an image captured by a monitoring camera; a monitoring logic execution unit configured to generate a monitoring result corresponding to the image captured by the monitoring camera, by using a trained monitoring logic; an image transmitting unit configured to decimate the image captured by the monitoring camera and transmit a result to a learning apparatus performing training processing on another monitoring logic of a same type as the monitoring logic; a monitoring logic receiving unit configured to receive, from the learning apparatus, the other monitoring logic additionally trained by the learning apparatus by using the image from the image transmitting unit; and an updating unit configured to update the monitoring logic executed by the monitoring logic execution unit to the other monitoring logic received by the monitoring logic receiving unit.